Anonymity-Aware Framework for Designing Recommender Systems. Honda, M. & Nishi, H. IEEJ Transactions on Electrical and Electronic Engineering, 19(9):1455–1464, 2024. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.24093
Anonymity-Aware Framework for Designing Recommender Systems [link]Paper  doi  abstract   bibtex   
Due to increasing secondary use of data, recommender systems using anonymized data are in demand. However, implementing a recommender system requires complicated data processing and programming, and the relationship between anonymization level and recommendation quality has not been investigated. Therefore, this study proposes a framework that facilitates the development of recommender systems. Additionally, a method is proposed for quantitatively evaluating recommendation quality when the anonymization level is varied. The proposed method promotes data utilization by recommender systems and determination of compensation for providing data based on anonymization level. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
@article{honda_anonymity-aware_2024,
	title = {Anonymity-{Aware} {Framework} for {Designing} {Recommender} {Systems}},
	volume = {19},
	copyright = {© 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.},
	issn = {1931-4981},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/tee.24093},
	doi = {10.1002/tee.24093},
	abstract = {Due to increasing secondary use of data, recommender systems using anonymized data are in demand. However, implementing a recommender system requires complicated data processing and programming, and the relationship between anonymization level and recommendation quality has not been investigated. Therefore, this study proposes a framework that facilitates the development of recommender systems. Additionally, a method is proposed for quantitatively evaluating recommendation quality when the anonymization level is varied. The proposed method promotes data utilization by recommender systems and determination of compensation for providing data based on anonymization level. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.},
	language = {en},
	number = {9},
	urldate = {2024-08-15},
	journal = {IEEJ Transactions on Electrical and Electronic Engineering},
	author = {Honda, Moena and Nishi, Hiroaki},
	year = {2024},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.24093},
	pages = {1455--1464},
}

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